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Pengembangan Model Jaringan Syaraf Tiruan Untuk Menduga Fluks Gas N2O dari Lahan Sawah Muhammad Didik Nugraha; Chusnul Arif
Jurnal Teknik Sipil dan Lingkungan Vol. 4 No. 3: Desember 2019
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.13 KB) | DOI: 10.29244/jsil.4.3.233-242

Abstract

Artificial neural networks (ANN) model was used to estimate N2O gas flux emitted from rice paddies with several water regime treatments. The purpose of this study were to identify the relationship of micro-environment with different water regimes towards N2O gas flux, to predict the amount of N2O gas flux, and to validate neural network models. Field experiment was conducted in the field laboratory of Civil and Environmental Engineering-IPB from February to August 2016. Land of paddy was treated with three water regime of continuous flooding water regime, wet water regime, dry water regime. ANN model with back propagation algorithm consisted of input layer with six nodes of micro- environment parameter and N2O gas was used as the model output. The total N2O flux for continuous flooding water regime, wet and dry regime were -25.95 mg/m2/season, 17.32 mg/m2/season, and 21.16 mg/m2/season. ANN each water regime was obtained the coefficient of determination (R2) of was 1, so ANN model was acceptable and could be used to predict N2O flux. Key words: artificial neural networks, micro environment, N2O gas flux, paddy field
Potensi Pemanasan Global dari Padi Sawah System of Rice Intensification (SRI) dengan Berbagai Ketinggian Muka Air Tanah Chusnul Arif; Budi Indra Setiawan; Deka Trisnadi Munarso; Muhammad Didik Nugraha; Pradha Wihandi Sinarmata; Ardiansyah Ardiansyah; Masaru Mizoguchi
Jurnal Irigasi Vol 11, No 2 (2016): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1411.199 KB) | DOI: 10.31028/ji.v11.i2.81-90

Abstract

System of Rice Intensification (SRI) is known as alternative rice farming for the mitigation of greenhouse gas (GHG) emissions. There are two main gasses emitted from paddy fields, i.e., methane (CH4) and nitrous oxide (N2O). Both of these gases have different characteristics as response on water availability in the fields which is represented by groundwater levels. Global Warming Potential (GWP) is used as an index that allowed comparisons of the global warming impacts of different gases at specific time period to warm the earth and it is equivalent to the value of the potential of CO2. This study aimed to analysis the global warming potential from different water regimes with SRI practices. Achieving the objective, rice cultivation with three water regimes was carried out during one planting season (14 April until 5 August 2016) in experimental plots of Department of Civil and Environmental Engineering IPB, Bogor, Java West. The regimes were continous flooding, moderate and dry regimes, respectively. The results showed that dry regime has the lowest global warming potential than those others regimes. Its potential was 34% and 41% lower than those for flooding and moderate regimes, respectively. In addition, dry regime produced more grain yield. Its productivity was 21% greater than that flooding regime. These results were obtained from specific climate and location. To corroborate the results, further research is needed under different weather conditions and multi-locations.